Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches

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dc.contributor.authorDemirci, Mustafa
dc.contributor.authorBaltaci, Ahmet
dc.date.accessioned2024-09-18T20:59:12Z
dc.date.available2024-09-18T20:59:12Z
dc.date.issued2013
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractPrediction of sediment concentration in a river is very important for many water resource projects. Conventional sediment rating curves (SRC), however, are not able to provide sufficiently accurate results. In this paper, a fuzzy logic approach is proposed to estimate suspended sediment concentration from streamflow. A comparison was performed between fuzzy logic (FL), SRC and multilinear regression models. It was based on a 5-year period of continuous streamflow, suspended sediment concentration and mean water temperature data of Sacremento Freeport Station operated by the United States Geological Survey. Based on the comparison of the results, it is found that the FL model gives better estimates than the other techniques.en_US
dc.description.sponsorshipMustafa Kemal University Research Fund [MKU1105Y0115]en_US
dc.description.sponsorshipThe data used in this study were downloaded from the web server of the USGS. The author wishes to thank the staff of the USGS who are associated with data observation, processing and management of USGS Web sites. This work was supported by Mustafa Kemal University Research Fund under the Project no. MKU1105Y0115, which is gratefully acknowledged.en_US
dc.identifier.doi10.1007/s00521-012-1280-z
dc.identifier.endpageS151en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.scopus2-s2.0-84888829250en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpageS145en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-012-1280-z
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12449
dc.identifier.volume23en_US
dc.identifier.wosWOS:000330030100011en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSuspended sedimenten_US
dc.subjectForecastingen_US
dc.subjectFuzzy logicen_US
dc.subjectSediment rating curveen_US
dc.subjectMultilinear regressionen_US
dc.titlePrediction of suspended sediment in river using fuzzy logic and multilinear regression approachesen_US
dc.typeArticleen_US

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